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US9251608B2 - Data visualization of a datacenter - Google Patents

Data visualization of a datacenter Download PDF

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Publication number
US9251608B2
US9251608B2 US11/742,019 US74201907A US9251608B2 US 9251608 B2 US9251608 B2 US 9251608B2 US 74201907 A US74201907 A US 74201907A US 9251608 B2 US9251608 B2 US 9251608B2
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values
real
time
color
datacenter
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US11/742,019
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US20080269932A1 (en
Inventor
Luis Chardon
Carlos J. Felix
Jose Mejias
William J. Navas
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Hewlett Packard Enterprise Development LP
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Hewlett Packard Enterprise Development LP
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Priority to US11/742,019 priority Critical patent/US9251608B2/en
Priority to EP08743290A priority patent/EP2143065A4/fr
Priority to PCT/US2008/005348 priority patent/WO2008133987A1/fr
Assigned to HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. reassignment HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: CHARDON, LUIS, FELIX, CARLOS J., MEJIAS, JOSE, NAVAS, WILLIAM J.
Publication of US20080269932A1 publication Critical patent/US20080269932A1/en
Assigned to HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP reassignment HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
Priority to US14/957,210 priority patent/US20160093077A1/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/20—Drawing from basic elements, e.g. lines or circles
    • G06T11/206—Drawing of charts or graphs
    • G06F17/246—
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
    • G06F3/04815—Interaction with a metaphor-based environment or interaction object displayed as three-dimensional, e.g. changing the user viewpoint with respect to the environment or object
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/10—Text processing
    • G06F40/166—Editing, e.g. inserting or deleting
    • G06F40/177—Editing, e.g. inserting or deleting of tables; using ruled lines
    • G06F40/18—Editing, e.g. inserting or deleting of tables; using ruled lines of spreadsheets
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/001—Texturing; Colouring; Generation of texture or colour

Definitions

  • monitoring sensors and appliances In order to more accurately track changes in the operating environment of datacenter equipment, datacenter operators have increasingly turned to the use of monitoring sensors and appliances. These devices are installed in the datacenter (within or external to the equipment racks) and provide measured values for a wide variety of physical and electrical environmental parameters within the datacenter.
  • the data provided by such devices may be monitored and displayed either by existing network monitoring software (e.g., HP 0 PENVIEVV® by HEWLETT-PACKARD®) or by other dedicated and/or proprietary software designed to work with specific sensors and/or appliances.
  • the data collected is used by the monitoring software to display instantaneous and/or 2-dimensional trend data, and is sometimes used to trigger alarm and/or event notifications if one or more threshold values are exceeded by a monitored parameter.
  • the data presented to operators reflects individual measurements and trends, but may not be very useful to operators in identifying and/or predicting in real-time the types of large scale environmental trends or issues that operators are likely to encounter in today's larger and more complex datacenters. Further, the large number of measurements that need to be monitored in a large datacenter may rapidly subject operators to information overload, creating a substantial risk that an impending or actual failure will go unnoticed.
  • Other software packages are capable of providing datacenter environmental modeling (e.g., RACKWISE TM by VISUAL NETWORK DESIGN), but such software packages are limited to providing generalized calculated environmental predictions (e.g., total power consumption and total required cooling) based on models of the equipment within the datacenter.
  • Still other general purpose fluid/thermal modeling software packages provide 3-dimensional modeling and display of fluid/thermal flows (e.g., FLOW-3D® by FLOW SCIENCE), but these packages are limited to providing theoretical projections of general parameters such as, for example, air flow and temperature variations.
  • FIG. 1 shows a color 3-dimensional representation of heat distribution within racks of a datacenter, in accordance with at least some illustrative embodiments
  • FIG. 2 shows a system for collecting, processing and displaying environmental data using a color 3-dimensional visualization, in accordance with at least some illustrative embodiments
  • FIG. 3A shows an example of a system configuration, suitable for use as either the processing system or the workstation of FIG. 2 , in accordance with at least some illustrative embodiments;
  • FIG. 3B shows a block diagram of the system configuration of FIG. 3A , in accordance with at least some illustrative embodiments
  • FIG. 4 shows the placement of environmental sensors within an equipment rack or enclosure, in accordance with at least some illustrative embodiments
  • FIG. 5 shows a color 3-dimensional visualization of interpolated environmental data, in accordance with at least some illustrative embodiments
  • FIG. 6 shows a 2-dimensional representation of a datacenter used as part of a configuration tool, in accordance with at least some illustrative embodiments.
  • FIG. 7 shows a method for collecting, processing and displaying environmental data using a color 3-dimensional visualization, in accordance with at least some illustrative embodiments.
  • system refers to a collection of two or more hardware and/or software components, and may be used to refer to an electronic device, such as a computer, a portion of a computer, a combination of computers, etc.
  • software includes any executable code capable of running on a processor, regardless of the media used to store the software.
  • code stored in non-volatile memory and sometimes referred to as “embedded firmware,” is included within the definition of software.
  • FIG. 1 shows a 3-D color visualization of the heat distribution within the racks of a datacenter, in accordance with at least some illustrative embodiments. Different temperatures are assigned to different colors, allowing the operator to assess the overall heat distribution throughout the datacenter at a glance, and without having to read numerical or graphical readings for individual sensors.
  • color scheme described is sometimes referred to as “false coloring,” due to the fact that the colors are selected to highlight differences between displayed regions or zones and do not necessarily reflect any real physical color of the equipment, process or phenomena being represented.
  • areas that are shown as blue and green are cooler zones, whereas areas showing up as yellow, orange and red are warmer zones.
  • the orange and red zones represent hot zones (at least relatively hot), possibly requiring the operator's attention.
  • the use of red and orange colors helps to highlight the area and focus the operator's attention on a potential problem.
  • 3-D images are displayed on a display device (e.g., a computer display such as a cathode ray tube or liquid crystal display).
  • the 3-D images reflect real-time values that are continuously collected from sensors placed throughout the datacenter, processed by a computing system and used to update the 3-D image displayed.
  • the term “3-D image,” as used throughout the present disclosure comprises what is sometimes referred to as “3-D scenes.” Such 3-D scenes enable the user to change the viewpoint or position from which a 3-D image is viewed, allowing the user to virtually traverse the environment represented by the 3-D image.
  • a user could move down an isle between racks in a 3-D scene of a datacenter, taking note of the distribution of a particular parameter (e.g., the heat distribution of each rack), much as an actual technician would walk down a real isle to inspect the operating conditions of real racks within a real datacenter.
  • a particular parameter e.g., the heat distribution of each rack
  • FIG. 2 illustrates a system 100 for collecting, processing and displaying datacenter sensor data, in accordance with at least some illustrative embodiments.
  • Data is collected from a variety of sensors 150 , which each couple to one of several network interface devices (Sensor Net I/F) 160 .
  • the sensors comprise temperature, humidity, and air flow sensors.
  • Other sensors capable of monitoring a wide variety of parameters associated with datacenter equipment and operations will become apparent to those skilled in the art, and all such sensors are within the scope of the present disclosure.
  • processing system 110 serves as a centralized data collection node where the collected data is processed, stored and made available for presentation to a datacenter operator.
  • Processing system 110 comprises processing logic (Proc Logic) 112 , which performs at least some of the processing of the sensor data.
  • processing logic 112 comprises a central processing unit (CPU) that executes software. Processing logic 112 processes the data as it is collected and stored, and further retrieves the stored data for display to the operator as previously described.
  • the collected and processed data may be stored either in volatile storage or non-volatile storage, or both.
  • real-time data is stored in real-time database 116 maintained within volatile storage device 114 (e.g., random access memory or RAM).
  • volatile storage device 114 e.g., random access memory or RAM.
  • Volatile storage device 114 couples to processing logic 112 and provides quick retrieval and/or display of the collected data.
  • Long-term historical data is stored within historical database 122 , which is maintained within non-volatile storage device 120 (e.g., a hard disk drive), also coupled to processing logic 112 .
  • FIGS. 3A and 3B show an illustrative system configuration 200 suitable for implementing processing system 110 and workstation 130 of FIG. 2 .
  • the illustrative system configuration 200 comprises a chassis 202 , a display 204 , and an input device 206 .
  • the system configuration 200 comprises a processor 226 , volatile storage 230 , and non-volatile storage 232 .
  • Volatile storage 230 comprises a computer-readable medium such as random access memory (RAM).
  • Non-volatile storage 232 comprises a computer-readable medium such as flash RAM, read-only memory (ROM), a hard disk drive, a compact disk read-only memory (CD-ROM), and combinations thereof.
  • the computer-readable media of both volatile storage 230 and non-volatile storage 232 comprise, for example, software that is executed by processor 226 and provides both processing system 110 and workstation 130 with some or all of the functionality described herein.
  • the system configuration 200 also comprises a network interface (Network I/F) 228 that enables the system configuration 200 to receive information via a local area network and/or a wired or wireless wide area network, represented in the example of FIG. 3A by Ethernet jack 212 .
  • a display interface 222 couples to the display 204 .
  • An operator interacts with the station via the input device 206 and/or pointing device 236 (e.g., a mouse), which couples to a peripheral interface 224 .
  • the display 204 together with the input device 236 and/or the pointing device, may operate together as a user interface.
  • System 200 may be a bus-based computer, with the bus 234 interconnecting the various elements shown in FIG. 3B .
  • the peripheral interface 224 accepts signals from the keyboard 206 and other input devices such as a pointing device 236 , and transforms the signals into a form suitable for communication on the bus 234 .
  • the display interface 222 may comprise a video card or other suitable display interface that accepts information from the bus 234 and transforms it into a form suitable for the display 204 .
  • the audio interface 240 may comprise a sound card or other suitable audio interface that accepts information from the bus 234 and transforms it into a form suitable for driving the speaker 242 .
  • the processor 226 gathers information from other system elements, including input data from the peripheral interface 224 , and program instructions and other data from non-volatile storage 232 or volatile storage 230 , or from other systems (e.g., a server used to store and distribute copies of executable code) coupled to a local area network or a wide area network via the network interface 228 .
  • the processor 226 executes the program instructions and processes the data accordingly.
  • the program instructions may further configure the processor 226 to send data to other system elements, such as information presented to the user via the display interface 222 and the display 204 , and audio presented to the user via the audio interface 240 and the speaker 242 .
  • the network interface 228 enables the processor 226 to communicate with other systems via a network (e.g., network 140 of FIG. 2 ).
  • Volatile storage 230 may serve as a low-latency temporary store of information for the processor 226
  • non-volatile storage 232 may serve as a long term (but higher latency) store of information.
  • the processor 226 operates in accordance with one or more programs stored on non-volatile storage 232 or received via the network interface 228 .
  • the processor 226 may copy portions of the programs into volatile storage 230 for faster access, and may switch between programs or carry out additional programs in response to user actuation of the input device.
  • the additional programs may be retrieved from non-volatile storage 232 or may be retrieved or received from other locations via the network interface 228 .
  • One or more of these programs executes on system configuration 200 causing the configuration to perform at least some of the data collection and data processing functions of processing system 110 , as well as the display functions of workstation 130 , as disclosed herein.
  • FIGS. 3A and 3B Although a fully equipped computer system is shown in the illustrative embodiment of FIGS. 3A and 3B , other embodiments comprise fewer options and may be suitable as the workstation 130 . At least some embodiments of workstation 130 comprise only some of the hardware features shown in FIGS. 3A and 3B , and only execute the software necessary to provide a user interface for datacenter monitoring software. Such embodiments of workstation 130 are sometimes referred to as a “thin” client. Similarly, at least some embodiments of processing system 110 comprise only some of the hardware features shown in FIGS. 3A and 3B . For example, if processing system 110 is used exclusively as a data collection and database server, keyboard 206 , pointing device 236 , speaker 242 and display 204 may not be needed. Other embodiments of workstation 130 and processing system 110 , with various combinations of hardware features and installed software, will become apparent to those skilled in the art, and all such embodiments of workstation 130 and processing system 110 are within the scope of the present disclosure.
  • FIG. 4 shows the placement of the sensors within an equipment rack 400 , in accordance with at least some illustrative embodiments.
  • the rack shown has sensors positioned at five distinct elevations within the rack (L 0 through L 4 ), with four sensors positioned at each elevation. Each of the four sensors is placed at or near the center of one of the four faces of the rack for a given level.
  • sensors S 0,0 , S 0,1 , S 0,2 and S 0,3 are distributed around the base of the rack near the center of each rack face at that level. Sensors are similarly placed at each of the remaining levels L 1 through L 4 .
  • Data collected from each of the sensors provides a sample point.
  • An interpolated range of values representing the data in the space between adjacent sensors may subsequently be calculated for each set of sampled values, providing the data necessary to display either distinct gradients or regions of colors between points, or a continuously varying gradation of color.
  • the gradations may be displayed along each face of the rack, as shown in FIG. 1 , or as gradations in space between racks along a specific plane or elevation, as shown in FIG. 5 .
  • Sensors may also be placed under a raised floor, within air handlers, above a raised ceiling, and suspended from the ceiling between racks. Many other sensor positions, gradations and interpolation techniques will become apparent to those skilled in the art, and all such sensor positions, gradations and interpolation techniques are within the scope of the present disclosure.
  • measurements may also be combined to produce other informative 3-D displays.
  • a safe operating range may be defined and only variations above or below the range are shown as color gradations. All values within the safe range are shown as black. In this manner, only those ranges of interest stand out within the 3-D image of the datacenter.
  • Relative measurements either to a static fixed value, a reference measured value, or a calculated value (e.g., an average, product or ratio) may also be displayed in a similar manner. Many other measurements, calculations and combinations of measurements and calculations will become apparent to those skilled in the art, and all such measurements, calculations and combinations of measurements and calculations are within the scope of the present disclosure.
  • the 3-D display of the value of interest provides an overall, real-time representation that can be viewed and intuitively interpreted by an operator of the system, allowing the operator to quickly perceive, assess and interpret at a glance what would otherwise be an overwhelming amount of discrete information.
  • the 3-D representation not only represents the individual data points, it graphically represents the relationships between samples, providing a consolidated image of the state of the datacenter in real-time, as well as changes to the state of the datacenter as they occur.
  • Historic data may also be represented by the 3-D image, either directly in the form of a playback, or in combination with the real-time data. For example, in at least some illustrative embodiments differences between current data and historical data for a similar time period (e.g., the same day of the previous year) or differences with a historical average are highlighted on the display. Snapshots of distinct historical snapshots may also be combined to produce a time-lapse sequence in order to identify anomalies and trends that could be leading up to a problem or equipment failure. In other illustrative embodiments cumulative differences between a real-time value and a series of snapshots are displayed and may be used as a predictor of anomalies or problems. Many other combinations of real-time and historical data will become apparent to those skilled in the art, and all such combinations are within the scope of the present disclosure.
  • FIG. 6 shows an example of a 2-dimensional (2-D) representation of the datacenter used as part of a configuration tool operated by a user at workstation 130 .
  • Each rack 602 is placed within the floor plan of the datacenter, and each sensor 604 associated with each rack 602 is placed within a square adjacent to the associated rack.
  • An interactive configuration window (not shown) is used to provide the relevant information for each sensor selected, including the position and elevation within the rack. The position information is later combined with the actual sensor data to produce the 3-D images previously described.
  • FIG. 7 shows a method 700 for collecting and displaying datacenter sensor data as a color 3-D image, in accordance with at least some illustrative embodiments.
  • real-time data is collected from the network of sensors 150 and transmitted by sensor network interfaces 160 to processing system 110 (block 702 ).
  • Each data sample is time-tagged and stored as the current value for the corresponding sensor in the real-time database 116 (block 704 ), and as a time-sequential data point within the historical database 122 (block 706 ).
  • the real-time data is then combined with sensor location/position data (block 708 ) previously stored as configuration data.
  • the combined sensor and position data is then processed by processing system 110 (block 710 ). Processing may be as simple as forwarding the data for display “as is,” or may involve any number of complex calculations, such as derivative, integration and statistical calculations, just to name a few examples. A large variety of calculations are possible, and all such calculations are within the scope of the present disclosure.
  • each resulting processed data value is mapped to one of a range of colors (block 712 ). In at least some illustrative embodiments, the color map is also stored as configuration data.
  • the display at workstation 130 is then updated to reflect the color values of the latest processed data values (block 714 ), completing the method 700 (block 716 ).
  • combinations of data samples are not limited to data of the same type, but also may include combinations and calculations between different types of data (e.g., a ratio calculated using a measured temperature and the power consumption of the equipment at that location and elevation, used to identify abnormal heat increases).
  • a ratio calculated using a measured temperature and the power consumption of the equipment at that location and elevation, used to identify abnormal heat increases e.g., a ratio calculated using a measured temperature and the power consumption of the equipment at that location and elevation, used to identify abnormal heat increases.
  • the embodiments described utilize color to display and emphasize the data values represented, other illustrative embodiments utilize grayscales in lieu of colors to represent the variations in the data values represented.
  • the term “colors” as used in the present disclosure includes monochrome grayscales and halftones. It is intended that the following claims be interpreted to embrace all such variations and modifications.

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  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
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  • Artificial Intelligence (AREA)
  • Audiology, Speech & Language Pathology (AREA)
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  • General Health & Medical Sciences (AREA)
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US11/742,019 2007-04-30 2007-04-30 Data visualization of a datacenter Active 2033-05-28 US9251608B2 (en)

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Application Number Priority Date Filing Date Title
US11/742,019 US9251608B2 (en) 2007-04-30 2007-04-30 Data visualization of a datacenter
EP08743290A EP2143065A4 (fr) 2007-04-30 2008-04-24 Visualisation de donnees d'un centre de traitement informatique
PCT/US2008/005348 WO2008133987A1 (fr) 2007-04-30 2008-04-24 Visualisation de donnees d'un centre de traitement informatique
US14/957,210 US20160093077A1 (en) 2007-04-30 2015-12-02 Data visualization of a datacenter

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US11/742,019 US9251608B2 (en) 2007-04-30 2007-04-30 Data visualization of a datacenter

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